PhD defense
Memory-Based Recommender Systems : A Comparative Study Aaron John Mani Srinivasan Ramani CSCI 572 PROJECT RECOMPARATOR.
1 Effective Fusion-based Approaches for Recommender Systems Xin Supervisors: Prof. King and Prof. Lyu Thesis Committees: Prof. Lam, Prof. Lui, and Prof.
WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation 1.
